Noninvasive Vagal Nerve Stimulation for Opioid Use Disorder.

Background: Opioid Use Disorder (OUD) is an escalating public health problem with over 100,000 drug overdose-related deaths last year most of them related to opioid overdose, yet treatment options remain limited. Non-invasive Vagal Nerve Stimulation (nVNS) can be delivered via the ear or the neck and is a non-medication alternative to treatment of opioid withdrawal and OUD with potentially widespread applications. Methods: This paper reviews the neurobiology of opioid withdrawal and OUD and the emerging literature of nVNS for the application of OUD. Literature databases for Pubmed, Psychinfo, and Medline were queried for these topics for 1982-present. Results: Opioid withdrawal in the context of OUD is associated with activation of peripheral sympathetic and inflammatory systems as well as alterations in central brain regions including anterior cingulate, basal ganglia, and amygdala. NVNS has the potential to reduce sympathetic and inflammatory activation and counter the effects of opioid withdrawal in initial pilot studies. Preliminary studies show that it is potentially effective at acting through sympathetic pathways to reduce the effects of opioid withdrawal, in addition to reducing pain and distress. Conclusions: NVNS shows promise as a non-medication approach to OUD, both in terms of its known effect on neurobiology as well as pilot data showing a reduction in withdrawal symptoms as well as physiological manifestations of opioid withdrawal.

Abortion restrictions and medical residency applications.

Residency selection is a challenging process for medical students, one further complicated in the USA by the recent Dobbs v Jackson Women's Health Organization (Dobbs) decision over-ruling the federal right to abortion. We surveyed medical students to examine how Dobbs is influencing the ideological, personal and professional factors they must reconcile when choosing where and how to complete residency.Between 6 August and 22 October 2022, third-year and fourth-year US medical students applying to US residency programmes were surveyed through social media and direct outreach to medical schools. Analysis of quantitative and qualitative data from 494 responses was performed to assess downstream effects of Dobbs on residency applicants' family, health and career choices.Most respondents said changes in abortion access would likely or very likely influence their decision regarding location of considered residency programme (76.9%), where to start a family (72.2%) and contraceptive planning for them or their partner (57.9%). Cis-gender females were more influenced by Dobbs regarding where (5 (4, 5) p<0.001) and when (3 (3, 5) p<0.001) to start a family. In qualitative responses, medical trainees highlighted the importance of abortion access for their patients, themselves and their loved ones.Medical trainees are incorporating state abortion access into their residency programme choices. Future physicians care about both the quality of care they will be able to provide and their own health. For personal and professional reasons, reproductive healthcare access is now a key factor in residency match decisions.

Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection.

Importance: Natural language processing (NLP) has the potential to enable faster treatment access by reducing clinician response time and improving electronic health record (EHR) efficiency. Objective: To develop an NLP model that can accurately classify patient-initiated EHR messages and triage COVID-19 cases to reduce clinician response time and improve access to antiviral treatment. Design, Setting, and Participants: This retrospective cohort study assessed development of a novel NLP framework to classify patient-initiated EHR messages and subsequently evaluate the model's accuracy. Included patients sent messages via the EHR patient portal from 5 Atlanta, Georgia, hospitals between March 30 and September 1, 2022. Assessment of the model's accuracy consisted of manual review of message contents to confirm the classification label by a team of physicians, nurses, and medical students, followed by retrospective propensity score-matched clinical outcomes analysis. Exposure: Prescription of antiviral treatment for COVID-19. Main Outcomes and Measures: The 2 primary outcomes were (1) physician-validated evaluation of the NLP model's message classification accuracy and (2) analysis of the model's potential clinical effect via increased patient access to treatment. The model classified messages into COVID-19-other (pertaining to COVID-19 but not reporting a positive test), COVID-19-positive (reporting a positive at-home COVID-19 test result), and non-COVID-19 (not pertaining to COVID-19). Results: Among 10 172 patients whose messages were included in analyses, the mean (SD) age was 58 (17) years; 6509 patients (64.0%) were women and 3663 (36.0%) were men. In terms of race and ethnicity, 2544 patients (25.0%) were African American or Black, 20 (0.2%) were American Indian or Alaska Native, 1508 (14.8%) were Asian, 28 (0.3%) were Native Hawaiian or other Pacific Islander, 5980 (58.8%) were White, 91 (0.9%) were more than 1 race or ethnicity, and 1 (0.01%) chose not to answer. The NLP model had high accuracy and sensitivity, with a macro F1 score of 94% and sensitivity of 85% for COVID-19-other, 96% for COVID-19-positive, and 100% for non-COVID-19 messages. Among the 3048 patient-generated messages reporting positive SARS-CoV-2 test results, 2982 (97.8%) were not documented in structured EHR data. Mean (SD) message response time for COVID-19-positive patients who received treatment (364.10 [784.47] minutes) was faster than for those who did not (490.38 [1132.14] minutes; P = .03). Likelihood of antiviral prescription was inversely correlated with message response time (odds ratio, 0.99 [95% CI, 0.98-1.00]; P = .003). Conclusions and Relevance: In this cohort study of 2982 COVID-19-positive patients, a novel NLP model classified patient-initiated EHR messages reporting positive COVID-19 test results with high sensitivity. Furthermore, when responses to patient messages occurred faster, patients were more likely to receive antiviral medical prescription within the 5-day treatment window. Although additional analysis on the effect on clinical outcomes is needed, these findings represent a possible use case for integration of NLP algorithms into clinical care.

It's Time to be disgusting about COVID-19: Effect of disgust priming on COVID-19 public health compliance among liberals and conservatives.

The COVID-19 pandemic is far from over, in part due to poor adoption of public health mitigation measures in the U.S. and the continued spread of the Delta and Omicron variants. Current public health messaging used in the U.S. could be improved to better combat mistrust about COVID-19 and its mitigation measures, especially vaccines. We propose that a disgust-inducing public health campaign will be more effective than current approaches, primarily among conservatives, who are both sensitive to moralized disgust and are less compliant with U.S. public health guidelines. Using a convenience sample across two studies (n = 1610), we found that presenting disgusting images related to the COVID-19 pandemic increased public health compliance more among conservatives than among liberals. Among unvaccinated conservative participants, disgusting images significantly increased willingness to be vaccinated compared to less disgusting images of COVID-19 or perks offered for COVID-19 vaccines. Using disgusting images for public health messaging has the potential to improve compliance among conservatives and accelerate the end of the COVID-19 pandemic in the U.S.

The role of status in the early emergence of pro-White bias in rural Uganda.

Research investigating the early emergence of racial prejudice has been largely limited to contexts in which racial prejudice is most likely to emerge-multiracial societies that have pronounced racial inequality (e.g., United States, South Africa). The present study assessed whether pro-White racial bias is also early emerging in a homogenous Black community that has little exposure to modern media and where children presumably experience less overt discrimination than in past samples. Black African children (N = 214) between 5- and 12-years-old living in rural Uganda exhibited substantial pro-White racial bias, preferring White over Black children 78% of the time. Ugandan children also judged White children as higher status than Black children, and these status judgments predicted their degree of pro-White bias. Our results indicate that pro-White racial biases can emerge even in a homogenous Black community and that, in some contexts, minimal status cues can be sufficient for the early development of racial prejudice.

How development and culture shape intuitions about prosocial obligations.

Do children, like most adults, believe that only kin and close others are obligated to help one another? In two studies (total N = 1140), we examined whether children (∼5- to ∼10-yos) and adults across five different societies consider social relationship when ascribing prosocial obligations. Contrary to the view that such discriminations are a natural default in human reasoning, younger children in the United States (Studies 1 and 2) and across cultures (Study 2) generally judged everyone-parents, friends, and strangers-as obligated to help someone in need. Older children and adults, on the other hand, tended to exhibit more discriminant judgments. They considered parents more obligated to help than friends followed by strangers-although this effect was stronger in some cultures than others. Our findings suggest that children's initial sense of prosocial obligation in social-relational contexts starts out broad and generally becomes more selective over the course of development. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Developing judgments about peers' obligation to intervene.

In some contexts, punishment is seen as an obligation limited to authority figures. In others, it is also a responsibility of ordinary citizens. In two studies with 4- to 7-year-olds (n = 232) and adults (n = 76), we examined developing judgments about whether certain individuals, either authority figures or peers, are obligated to intervene (Study 1) or to punish (Study 2) after witnessing an antisocial action. In both studies, children and adults judged authority figures as obligated to act, but only younger children judged ordinary individuals as also obligated to do so. Taken together, the present findings suggest that younger children, at least in the United States, start off viewing norm enforcement as a universal responsibility, entrusting even ordinary citizens with a duty to intervene in response to antisocial individuals. Older children and adults, though, see obligations as role-dependent-only authority figures are obligated to intervene.